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Strong Tier-1 brand, metro location, general backend role with broad cloud/ML skills increases applicant competition.
Requires backend, cloud, and ML model-integration experience so moderately industry-transferable.
Explicit 8+ years requirement plus mandatory backend, cloud, and tech stack increases shortlisting strictness.
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Design, develop, and maintain scalable cloud backend services and components for Video APIs powered by AI/ML models.
Own full project lifecycle from requirements through deployment, including architecture, coding standards, and documentation.
Collaborate with ML researchers, product managers, and distributed engineering teams to integrate AI/ML workflows and serve enterprise customers.
B.Tech and/or M.Tech in Computer Science or equivalent experience.
8+ years of software development experience primarily in backend systems.
Proficiency in Java/Python and experience with server-side frameworks like REST, DynamoDB, Redis, Kafka, Docker, and CI/CD.
Experience building scalable cloud services on AWS or Azure with strong understanding of system architecture, performance, and scalability.
Experienced in designing and owning large scale backend services with focus on robustness and scalability in cloud environments.
Strong technical collaborator comfortable working with ML teams and integrating AI/ML model orchestration into backend workflows.
Familiarity with distributed systems and GPU-optimized model pipelines is a plus, alongside exposure to video technology and AI/ML integration.